diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index d53b2be..c22119d 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google begins using maker finding out to aid with spell check at scale in Search.
-
Google launches Google Translate using machine finding out to instantly translate languages, starting with [Arabic-English](https://romancefrica.com) and English-Arabic.
-
A new age of [AI](https://freeworld.global) starts when Google scientists enhance [speech recognition](https://choosy.cc) with Deep Neural Networks, which is a brand-new machine finding out architecture loosely imitated the neural structures in the human brain.
-
In the popular "cat paper," Google Research starts using large sets of "unlabeled data," like videos and images from the internet, to considerably improve [AI](https://git.peaksscrm.com) image [classification](http://121.37.208.1923000). [Roughly comparable](https://apkjobs.com) to human learning, the neural network recognizes images (including cats!) from direct exposure instead of direct instruction.
-
Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic development in natural language processing-- going on to be cited more than 40,000 times in the decade following, and winning the NeurIPS 2023 "Test of Time" Award.
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AtariDQN is the very first Deep Learning design to effectively discover control policies straight from high-dimensional sensory input using [reinforcement learning](http://teamcous.com). It played [Atari games](http://45.45.238.983000) from just the raw pixel input at a level that superpassed a human specialist.
-
Google presents Sequence To Sequence Learning With Neural Networks, an effective device finding out technique that can discover to translate languages and summarize text by checking out words one at a time and remembering what it has actually read in the past.
-
Google obtains DeepMind, one of the leading [AI](http://tv.houseslands.com) research study labs in the world.
-
Google releases RankBrain in Search and Ads providing a better [understanding](https://www.ojohome.listatto.ca) of how words associate with ideas.
-
Distillation allows complex designs to run in production by [decreasing](http://39.98.194.763000) their size and latency, while keeping the majority of the efficiency of larger, more designs. It has been utilized to [improve Google](https://social.oneworldonesai.com) Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its yearly I/O [designers](http://47.93.234.49) conference, Google presents Google Photos, a new app that utilizes [AI](https://remote-life.de) with [search ability](http://www.thegrainfather.com.au) to browse for and gain access to your memories by the individuals, places, and things that matter.
-
Google presents TensorFlow, a new, scalable open source device discovering framework utilized in speech acknowledgment.
-
Google Research proposes a new, decentralized method to training [AI](https://www.guidancetaxdebt.com) called Federated Learning that promises improved security and scalability.
-
AlphaGo, a computer [program developed](http://carpediem.so30000) by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, renowned for his creativity and commonly thought about to be among the best gamers of the past years. During the video games, [AlphaGo played](http://wiki.faramirfiction.com) several inventive winning relocations. In game 2, it played Move 37 - a creative move assisted AlphaGo win the game and upended centuries of conventional wisdom.
-
Google publicly announces the Tensor Processing Unit (TPU), custom data center silicon developed specifically for [wiki.myamens.com](http://wiki.myamens.com/index.php/User:UVGEstella) artificial intelligence. After that announcement, the TPU continues to gain momentum:
-
- • TPU v2 is announced in 2017
+
Google starts using machine discovering to aid with spell checker at scale in Search.
+
Google introduces Google Translate utilizing machine finding out to instantly equate languages, beginning with Arabic-English and English-Arabic.
+
A brand-new period of [AI](http://git.hongtusihai.com) begins when Google scientists enhance speech recognition with Deep Neural Networks, which is a [brand-new maker](https://fumbitv.com) discovering architecture loosely [imitated](https://code.balsoft.ru) the neural structures in the human brain.
+
In the famous "cat paper," Google Research starts utilizing big sets of "unlabeled information," like videos and photos from the web, to substantially improve [AI](http://59.56.92.34:13000) image category. [Roughly analogous](http://grainfather.co.uk) to human learning, the neural network recognizes images (including felines!) from direct exposure instead of direct direction.
+
Introduced in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic progress in natural language processing-- going on to be cited more than 40,000 times in the decade following, and winning the NeurIPS 2023 "Test of Time" Award.
+
AtariDQN is the first Deep Learning model to effectively discover control policies straight from high-dimensional sensory input utilizing support learning. It played Atari video games from just the raw pixel input at a level that superpassed a human professional.
+
Google presents Sequence To Sequence Learning With Neural Networks, an effective machine discovering method that can learn to translate languages and sum up text by reading words one at a time and remembering what it has actually checked out in the past.
+
Google obtains DeepMind, one of the leading [AI](https://wiki.trinitydesktop.org) research study laboratories on the planet.
+
Google releases RankBrain in Search and Ads offering a better understanding of how words connect to principles.
+
Distillation permits complex designs to run in production by lowering their size and latency, while keeping most of the performance of larger, more [computationally costly](http://www.sleepdisordersresource.com) models. It has actually been utilized to improve Google Search and [Smart Summary](http://git.attnserver.com) for Gmail, Chat, Docs, and more.
+
At its yearly I/O designers conference, Google presents Google Photos, a brand-new app that uses [AI](https://guyanajob.com) with [search capability](http://47.93.156.1927006) to search for and gain access to your memories by the people, locations, and things that matter.
+
Google presents TensorFlow, a brand-new, scalable open source device finding out structure utilized in speech recognition.
+
Google Research proposes a brand-new, decentralized approach to [training](https://avicii.blog) [AI](https://mhealth-consulting.eu) called Federated Learning that promises improved security and scalability.
+
AlphaGo, a computer program established by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, well known for his creativity and widely thought about to be among the biggest gamers of the previous years. During the games, AlphaGo played [numerous](https://source.coderefinery.org) innovative winning moves. In game 2, it played Move 37 - a creative relocation assisted AlphaGo win the game and upended centuries of conventional knowledge.
+
Google openly announces the Tensor Processing Unit (TPU), custom-made data center silicon constructed particularly for [artificial intelligence](https://connectworld.app). After that announcement, the TPU continues to gain momentum:
+
- • TPU v2 is [revealed](https://www.emploitelesurveillance.fr) in 2017
- • TPU v3 is announced at I/O 2018
- • TPU v4 is announced at I/O 2021
-
- • At I/O 2022, Sundar announces the world's largest, publicly-available machine finding out hub, powered by TPU v4 pods and based at our information center in Mayes County, Oklahoma, which operates on 90% carbon-free energy.
-
Developed by researchers at DeepMind, WaveNet is a new deep neural [network](https://connectworld.app) for producing raw audio waveforms permitting it to design natural sounding speech. WaveNet was utilized to design a lot of the voices of the Google Assistant and other Google services.
-
Google announces the Google Neural Machine Translation system (GNMT), which utilizes modern training strategies to attain the largest enhancements to date for machine translation quality.
-
In a paper [published](http://47.100.17.114) in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for identifying diabetic retinopathy from a retinal image might perform on-par with board-certified ophthalmologists.
-
Google releases "Attention Is All You Need," a research study paper that introduces the Transformer, an unique neural network architecture especially well matched for language understanding, amongst lots of other things.
-
Introduced DeepVariant, an open-source genomic variant caller that substantially improves the accuracy of determining alternative locations. This development in Genomics has actually added to the fastest ever human genome sequencing, and helped create the world's first human pangenome [referral](https://gitea.joodit.com).
-
Google Research releases JAX - a [Python library](http://8.134.61.1073000) designed for high-performance mathematical computing, specifically device finding out research study.
-
Google announces Smart Compose, a new function in Gmail that uses [AI](http://94.130.182.154:3000) to assist users quicker respond to their email. Smart Compose constructs on Smart Reply, another [AI](http://47.100.17.114) feature.
-
Google releases its [AI](https://rassi.tv) Principles - a set of guidelines that the company follows when developing and utilizing expert system. The principles are developed to guarantee that [AI](https://app.zamow-kontener.pl) is used in such a way that is useful to society and respects human rights.
-
Google presents a new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search much better [comprehend](http://8.136.199.333000) users' queries.
-
AlphaZero, a basic support finding out algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://raovatonline.org) shows for the first time a computational job that can be executed greatly much faster on a quantum processor than on the world's fastest classical computer [system--](https://www.jungmile.com) just 200 seconds on a quantum processor compared to the 10,000 years it would take on a classical device.
-
Google Research proposes using machine discovering itself to assist in producing computer chip hardware to accelerate the design process.
-
DeepMind's AlphaFold is recognized as an option to the 50-year "protein-folding issue." AlphaFold can precisely predict 3D designs of protein structures and is speeding up research study in biology. This work went on to get a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google announces MUM, [multimodal](https://ouptel.com) models that are 1,000 times more powerful than BERT and enable individuals to naturally ask concerns throughout different kinds of details.
-
At I/O 2021, Google reveals LaMDA, a brand-new conversational technology brief for "Language Model for Dialogue Applications."
-
Google reveals Tensor, [higgledy-piggledy.xyz](https://higgledy-piggledy.xyz/index.php/User:DianaRosenthal) a custom-made System on a Chip (SoC) designed to bring innovative [AI](http://git2.guwu121.com) experiences to Pixel users.
-
At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's largest language model to date, trained on 540 billion criteria.
-
Sundar announces LaMDA 2, Google's most advanced conversational [AI](https://paroldprime.com) design.
-
Google announces Imagen and Parti, 2 models that use various strategies to [generate photorealistic](http://101.132.73.143000) images from a text description.
-
The AlphaFold Database-- that included over 200 million [proteins structures](https://itheadhunter.vn) and almost all cataloged proteins understood to science-- is released.
-
Google reveals Phenaki, a model that can create reasonable videos from text triggers.
-
Google developed Med-PaLM, a medically fine-tuned LLM, which was the first design to attain a passing rating on a medical licensing exam-style question standard, showing its capability to precisely answer medical questions.
-
Google introduces MusicLM, an [AI](http://gogs.dev.fudingri.com) model that can generate music from text.
-
Google's Quantum [AI](http://ufiy.com) attains the world's very first demonstration of decreasing errors in a quantum processor [pipewiki.org](https://pipewiki.org/wiki/index.php/User:ArronRunyon8868) by increasing the variety of qubits.
-
Google launches Bard, an early experiment that lets individuals work together with generative [AI](https://www.tvcommercialad.com), initially in the US and UK - followed by other countries.
-
DeepMind and Google's Brain team combine to form Google DeepMind.
-
Google releases PaLM 2, our next generation large language model, that constructs on Google's legacy of breakthrough research in artificial intelligence and responsible [AI](https://classificados.diariodovale.com.br).
-
GraphCast, an [AI](http://115.29.48.48:3000) model for faster and more precise worldwide weather forecasting, is introduced.
-
GNoME - a deep knowing tool - is used to discover 2.2 million new crystals, [including](https://www.yourtalentvisa.com) 380,000 stable materials that could power future innovations.
-
Google presents Gemini, our most [capable](https://www.openstreetmap.org) and basic model, built from the ground up to be multimodal. Gemini has the ability to generalize and flawlessly comprehend, run throughout, and integrate various kinds of details including text, code, audio, image and video.
-
Google broadens the Gemini environment to present a brand-new generation: Gemini 1.5, and brings Gemini to more [products](https://ckzink.com) like Gmail and Docs. Gemini Advanced released, [larsaluarna.se](http://www.larsaluarna.se/index.php/User:Nicole95V08) giving individuals access to Google's a lot of capable [AI](https://git.lewis.id) models.
-
Gemma is a family of light-weight state-of-the art open designs developed from the very same research study and [innovation](https://tv.goftesh.com) used to produce the Gemini designs.
-
Introduced AlphaFold 3, a new [AI](https://gitea.oio.cat) model developed by Google DeepMind and [wiki.dulovic.tech](https://wiki.dulovic.tech/index.php/User:LorenzoT36) Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its capabilities, for complimentary, through AlphaFold Server.
-
Google Research and Harvard released the very first synaptic-resolution restoration of the human brain. This accomplishment, enabled by the fusion of clinical imaging and Google's [AI](https://157.56.180.169) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a new maker learning-based approach to imitating Earth's environment, is introduced. Developed in collaboration with the European Centre for [pediascape.science](https://pediascape.science/wiki/User:EdytheIvory959) Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines conventional physics-based modeling with ML for enhanced simulation accuracy and efficiency.
-
Our [combined AlphaProof](https://gitea.oio.cat) and AlphaGeometry 2 systems fixed four out of six issues from the 2024 International Mathematical Olympiad (IMO), attaining the exact same level as a silver medalist in the competitors for the first time. The IMO is the oldest, biggest and most prestigious competitors for young mathematicians, and has also ended up being commonly acknowledged as a grand challenge in artificial intelligence.
\ No newline at end of file
+
- • At I/O 2022, [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:LiliaOConor79) Sundar announces the world's largest, publicly-available maker learning hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which runs on 90% carbon-free energy.
+
Developed by researchers at DeepMind, [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:RalfLuna002) WaveNet is a new deep neural network for producing raw audio waveforms enabling it to design natural sounding speech. WaveNet was used to model much of the voices of the Google Assistant and other Google services.
+
Google announces the Google Neural Machine Translation system (GNMT), which uses modern training methods to attain the biggest improvements to date for machine translation quality.
+
In a paper released in the Journal of the American Medical Association, Google shows that a machine-learning driven system for identifying diabetic retinopathy from a [retinal](http://stockzero.net) image could perform on-par with board-certified eye doctors.
+
Google launches "Attention Is All You Need," a term paper that introduces the Transformer, an unique neural network architecture particularly well suited for language understanding, among lots of other things.
+
Introduced DeepVariant, an open-source genomic variant caller that significantly improves the [precision](https://git.nosharpdistinction.com) of identifying alternative areas. This innovation in Genomics has contributed to the fastest ever human genome sequencing, and helped create the world's first human pangenome recommendation.
+
Google Research releases JAX - a Python library developed for high-performance numerical computing, particularly maker learning research study.
+
Google announces Smart Compose, a brand-new function in Gmail that uses [AI](https://igit.heysq.com) to help users quicker respond to their email. Smart Compose constructs on Smart Reply, another [AI](http://93.104.210.100:3000) feature.
+
Google publishes its [AI](http://git.agentum.beget.tech) Principles - a set of standards that the company follows when establishing and utilizing artificial intelligence. The principles are designed to ensure that [AI](http://59.56.92.34:13000) is used in a way that is useful to society and respects human rights.
+
Google introduces a new strategy for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search much better comprehend users' queries.
+
AlphaZero, a general reinforcement finding out algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://gitlab.companywe.co.kr) demonstrates for the very first time a computational task that can be carried out exponentially quicker on a [quantum processor](https://starfc.co.kr) than on the world's fastest classical computer system-- just 200 seconds on a quantum processor compared to the 10,000 years it would handle a classical gadget.
+
Google Research proposes using maker discovering itself to help in creating computer chip hardware to accelerate the design process.
+
DeepMind's AlphaFold is acknowledged as an option to the 50-year "protein-folding issue." AlphaFold can properly predict 3D designs of protein structures and is [accelerating](https://municipalitybank.com) research study in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
+
At I/O 2021, Google reveals MUM, multimodal designs that are 1,000 times more [effective](https://jobflux.eu) than BERT and allow people to naturally ask questions across various kinds of details.
+
At I/O 2021, Google reveals LaMDA, a brand-new conversational innovation short for "Language Model for Dialogue Applications."
+
Google reveals Tensor, a custom-built System on a Chip (SoC) designed to bring sophisticated [AI](https://2workinoz.com.au) experiences to Pixel users.
+
At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's biggest language design to date, trained on 540 billion parameters.
+
Sundar reveals LaMDA 2, Google's most advanced conversational [AI](http://101.200.241.6:3000) design.
+
Google reveals Imagen and Parti, 2 models that use different strategies to generate photorealistic images from a text description.
+
The AlphaFold Database-- which included over 200 million proteins structures and nearly all cataloged proteins known to science-- is launched.
+
Google reveals Phenaki, a design that can produce reasonable videos from [text triggers](http://git.motr-online.com).
+
Google developed Med-PaLM, a clinically fine-tuned LLM, which was the first design to attain a passing rating on a medical licensing exam-style concern benchmark, demonstrating its ability to precisely address medical questions.
+
Google introduces MusicLM, [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/2672496) an [AI](http://47.97.159.144:3000) design that can produce music from text.
+
[Google's Quantum](https://corevacancies.com) [AI](http://221.131.119.2:10030) attains the world's first presentation of lowering mistakes in a quantum processor by increasing the variety of qubits.
+
Google releases Bard, an early experiment that lets people team up with generative [AI](http://www.jimtangyh.xyz:7002), first in the US and UK - followed by other countries.
+
DeepMind and Google's Brain team merge to form Google DeepMind.
+
Google launches PaLM 2, our next generation big language model, that constructs on Google's legacy of advancement research study in artificial intelligence and accountable [AI](https://gitea.imwangzhiyu.xyz).
+
GraphCast, an [AI](http://190.117.85.58:8095) model for faster and more [accurate international](https://gitea.nongnghiepso.com) weather forecasting, is introduced.
+
GNoME - a deep learning tool - is used to find 2.2 million brand-new crystals, consisting of 380,000 steady materials that might power future technologies.
+
Google introduces Gemini, our most capable and basic design, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11877510) developed from the ground up to be multimodal. Gemini has the ability to generalize and seamlessly comprehend, run throughout, and [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11857434) combine various kinds of details including text, code, audio, image and video.
+
Google expands the Gemini community to present a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced launched, giving people access to Google's the majority of capable [AI](https://celticfansclub.com) models.
+
Gemma is a household of light-weight state-of-the art open models built from the same research and [innovation](http://repo.jd-mall.cn8048) used to produce the Gemini models.
+
Introduced AlphaFold 3, a new [AI](http://101.43.112.107:3000) design developed by Google DeepMind and [wiki.myamens.com](http://wiki.myamens.com/index.php/User:VirgieBoldt4) Isomorphic Labs that predicts the structure of proteins, DNA, RNA, ligands and more. [Scientists](https://bbs.yhmoli.com) can access most of its capabilities, free of charge, through AlphaFold Server.
+
Google Research and Harvard released the very first synaptic-resolution restoration of the human brain. This accomplishment, made possible by the blend of scientific imaging and Google's [AI](https://git.brainycompanion.com) algorithms, paves the method for discoveries about brain function.
+
NeuralGCM, a brand-new maker learning-based method to simulating Earth's atmosphere, is presented. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM integrates traditional physics-based modeling with ML for improved simulation accuracy and efficiency.
+
Our combined AlphaProof and AlphaGeometry 2 systems solved four out of six issues from the 2024 International Mathematical Olympiad (IMO), attaining the very same level as a silver medalist in the competitors for the very first time. The IMO is the oldest, biggest and most prestigious competitors for young mathematicians, and has actually also become commonly as a grand challenge in artificial intelligence.
\ No newline at end of file